Models

Automatic Variational Inference in Stan NeurIPS 2015 Barrier Frank-Wolfe for Marginal Inference NeurIPS 2015 Beyond Principal Components: Deep Boltzmann Machines for Face Modeling CVPR 2015 Bidirectional Recurrent Neural Networks as Generative Models NeurIPS 2015 Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions ICML 2015 Bounding errors of Expectation-Propagation NeurIPS 2015 Celeste: Variational inference for a generative model of astronomical images ICML 2015 Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA JMLR 2015 Copula variational inference NeurIPS 2015 Data Generation as Sequential Decision Making NeurIPS 2015 Deep Colorization ICCV 2015 Deep Exponential Families AISTATS 2015 Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks NeurIPS 2015 Deep Multiple Instance Learning for Image Classification and Auto-Annotation CVPR 2015 Deep Poisson Factor Modeling NeurIPS 2015 Deep Temporal Sigmoid Belief Networks for Sequence Modeling NeurIPS 2015 Deep Unsupervised Learning using Nonequilibrium Thermodynamics ICML 2015 Deep Visual-Semantic Alignments for Generating Image Descriptions CVPR 2015 DRAW: A Recurrent Neural Network For Image Generation ICML 2015 Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets NeurIPS 2015 Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo CVPR 2015 Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NeurIPS 2015 Exploring Models and Data for Image Question Answering NeurIPS 2015 Fast and Flexible Convolutional Sparse Coding CVPR 2015 Fast Second Order Stochastic Backpropagation for Variational Inference NeurIPS 2015